Simmons First National (SFNC) Amortization - Intangibles (2011 - 2018)
Simmons First National (SFNC) posted Amortization - Intangibles of $2.84 million for Q1 2018, up 83.0% from $1.55 million a year earlier but down 0.1% from the prior quarter.
Simmons First National (SFNC) Amortization - Intangibles (2011 - 2018) Analysis & Trends
For the trailing twelve months through Mar 31, 2018, Amortization - Intangibles at Simmons First National was $8.96 million, up 48.3% year-over-year; for FY2017, it came in at $7.67 million, up 29.0% from FY2016.
- Annual Amortization - Intangibles has increased for three consecutive years, with a three-year compound annual growth rate of 57.1% (FY2014 to FY2017).
- In prior years, Simmons First National's Amortization - Intangibles was $5.95 million in FY2016 (+21.6%), $4.89 million in FY2015 (+147.0%) and $1.98 million in FY2014.
- Quarterly Amortization - Intangibles has run from a low of $135,000 in Q3 2013 to a high of $2.84 million in Q4 2017 over five years.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last 13 quarters, with growth averaging 34.5% over the last eight quarters.
- The year-over-year growth in Amortization - Intangibles has ranged between 6.5% (Q1 2017) and 236.3% (Q3 2014) over the last five years.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $2.84 million (Q4 2017), $1.72 million (Q3 2017) and $1.55 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Simmons First National | 3.26 Bn | 3.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 2.84 Mn |
| Dec 31, 2017 | 2.84 Mn |
| Sep 30, 2017 | 1.72 Mn |
| Jun 30, 2017 | 1.55 Mn |
| Mar 31, 2017 | 1.55 Mn |
| Dec 31, 2016 | 1.53 Mn |
| Sep 30, 2016 | 1.50 Mn |
| Jun 30, 2016 | 1.45 Mn |
| Mar 31, 2016 | 1.46 Mn |
| Dec 31, 2015 | 1.34 Mn |
| Sep 30, 2015 | 1.27 Mn |
| Jun 30, 2015 | 996,000.00 |
| Mar 31, 2015 | 899,000.00 |
| Dec 31, 2014 | 605,000.00 |
| Sep 30, 2014 | 454,000.00 |
| Jun 30, 2014 | 452,000.00 |
| Mar 31, 2014 | 453,000.00 |
| Sep 30, 2013 | 135,000.00 |
| Jun 30, 2013 | 137,000.00 |
| Mar 31, 2013 | 137,000.00 |
Simmons First National Amortization - Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=SFNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "SFNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();